What is robotic process automation?
Robotic process automation, often shortened to RPA, is technology that uses software bots to complete repetitive, rule-based tasks.
These bots can copy data, update systems, complete forms, move files, generate reports, and trigger routine actions. They follow clear instructions and perform the same task in the same way every time.
In a contact centre, RPA is often used to reduce admin. It helps agents spend less time moving information between systems and more time supporting customers.
Why RPA is used
Many contact centre processes still involve manual steps that are repetitive but necessary.
An agent may need to update a customer record, create a case, check a payment, copy notes into another system, send a confirmation email, and close the interaction. None of these tasks may be difficult, but they take time and create opportunities for mistakes.
RPA helps by completing these steps quickly and consistently.
It is especially useful when:
The task follows clear rules
The same process happens many times
Information needs to move between systems
Accuracy is important
Manual admin slows agents down
The process does not require human judgement
RPA does not replace the need for good service. It removes some of the repetitive work that gets in the way of good service.
How RPA works
RPA bots interact with software systems in a similar way to a person using a computer.
They can:
Open applications
Copy and paste information
Fill in fields
Extract data
Move files
Update records
Send emails
Generate reports
Trigger follow-up tasks
The bot follows a workflow. If the rules are clear and the data is available, it can complete the task without needing an agent to do each step manually.
Attended and unattended RPA
There are two common types of RPA.
Attended RPA works alongside an employee. It may be triggered by an agent during a live interaction. For example, an agent clicks a button and the bot updates several systems at once.
Unattended RPA runs in the background. It can process high-volume tasks without human involvement, such as overnight updates, scheduled reports, or bulk case processing.
Both have a place in customer service. Attended RPA supports agents during conversations. Unattended RPA supports the wider operation behind the scenes.
RPA in the contact centre
RPA can be used across many contact centre tasks, including:
Updating customer records
Creating and closing cases
Auto-filling forms
Processing refunds
Sending confirmation emails
Retrieving account details
Completing compliance checks
Generating reports
Triggering follow-up actions
Copying data between systems
For example, after a call, an RPA bot could update the CRM, add the correct disposition, send the customer a confirmation message, and create a follow-up task for another team.
This reduces wrap-up time and helps keep records accurate.
RPA and AI
RPA and AI are often used together, but they are not the same thing.
RPA follows rules. AI understands language, context, and patterns.
A useful way to think about it is this:
AI understands what the customer wants.
RPA helps carry out the task.
For example, AI may recognise that a customer wants to change their address. RPA can then open the right system, update the record, and send confirmation.
Together, they can support more intelligent automation. AI provides the understanding. RPA provides the action.
Where RPA works well
RPA works best when the process is stable, repeatable, and clearly defined.
Good examples include:
High-volume admin
Rule-based back-office processes
Data entry
System updates
Report generation
Routine customer communications
Simple transactional tasks
These are the areas where speed and consistency matter, but human judgement is not always required.
The value of RPA
The value of RPA is practical. It reduces repetitive work, improves accuracy, and helps teams handle routine tasks more efficiently.
For contact centres, this can mean shorter after-call work, fewer manual errors, better compliance, and less pressure on agents.
Used well, RPA gives agents more time to focus on customers rather than admin. When combined with AI and strong workflow design, it becomes an important part of modern customer service automation.
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